Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world ta...
Kristian Kersting, Youssef El Massaoudi, Fabian Ha...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Abstract. Modal logics see a wide variety of applications in artificial intelligence, e.g. in reasoning about knowledge, belief, uncertainty, agency, defaults, and relevance. From ...
Photorealistic rendering is one of the oldest and most important research areas in computer graphics. More recently, the concept of nonphotorealistic rendering has been proposed as...
This paper describes Studierstube, an augmented reality system developed over the past four years at Vienna University of Technology, Austria, in extensive collaboration with Frau...
Dieter Schmalstieg, Anton L. Fuhrmann, Gerd Hesina...